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Optimized Data Acquisition for Image Reconstruction in Magnetic Particle Imaging (MPI) Based on Compressed Sensing

基于压缩感知的磁粒子成像（MPI）图像重建的优化数据采集

基本信息

批准号：
250691157
负责人：
Professor Dr. Thorsten Buzug
金额：
--
依托单位：
Institut für Medizintechnik (IMT)
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2014
资助国家：
德国
起止时间：
2013-12-31 至 2018-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/250691157?language=en
关键词：
Optimized Data Acquisition Image Reconstruction

项目摘要

Using Magnetic Particle Imaging (MPI) a local concentration of magnetic nanoparticles can be displayed quantitatively in real-time with high sensitivity and with very good spatial resolution. The basic idea is to utilize the non-linear magnetization characteristics of the particles which are used as tracers. For this purpose, the technique employs two magnetic fields, on the one hand a static selection field, on the other hand a dynamic alternating field. Once the nanoparticles are brought into the alternating field they produce a non-linear magnetization, which can be measured using a receive coil. Apart from the fundamental frequency of the alternating field the measured signal also contains harmonics, i.e. oscillations with multiples of the fundamental frequency, which is caused by the non-linearity. After separation of the harmonics from the applied basic signal the concentration of the nanoparticles can be determined. Spatial encoding is achieved using the static selection field. In first experimental studies MPI has already shown advantages over other imaging modalities. However, it has not yet reached its full potential with respect to spatial resolution, signal-to-noise ratio and acquisition times. It can be expected that recent advancements in signal processing and sampling theory, especially in the field of compressed sensing (CS), will contribute to the enhancement of image quality and speed. Sparse coding and compressed sensing have already improved other imaging modalities like e.g. Magnetic Resonance Imaging (MRI) considerably compared to the state-of-the-art of science. So far, the standard wavelet transformations have predominantly been applied as suitable transformations. Increasingly though transformations are sought that suit the signal characteristics of the respective modality. This strategy shall also be pursued in this project. Based on data of a simulation chain, which is to be developed, and realizations of different MPI scanner topologies by the Institute of Medical Engineering adapted transformations can be optimized for sparse coding, capitalizing on the expertise of the Institute for Signal Processing.

使用磁性粒子成像（MPI），可以以高灵敏度和非常好的空间分辨率实时定量显示磁性纳米粒子的局部浓度。其基本思想是利用作为示踪剂的颗粒的非线性磁化特性。为此，该技术采用两个磁场，一方面是静态选择场，另一方面是动态交变场。一旦纳米颗粒进入交变场，它们就会产生非线性磁化，这可以使用接收线圈来测量。除了交变场的基频之外，测量信号还包含谐波，即具有基频倍数的振荡，这是由非线性引起的。在从所施加的基本信号中分离谐波之后，可以确定纳米颗粒的浓度。使用静态选择字段实现空间编码。在最初的实验研究中，MPI已经显示出优于其他成像方式的优势。然而，它在空间分辨率、信噪比和采集时间方面尚未充分发挥潜力。可以预期，最近在信号处理和采样理论，特别是在压缩传感（CS）领域的进步，将有助于提高图像质量和速度。与最先进的科学相比，稀疏编码和压缩感测已经大大改善了其他成像模态，例如磁共振成像（MRI）。到目前为止，标准小波变换主要被用作合适的变换。然而，越来越多地寻求适合相应模态的信号特性的变换。在本项目中也将执行这一战略。基于要开发的模拟链的数据，以及医学工程研究所对不同MPI扫描器拓扑的实现，可以利用信号处理研究所的专业知识，针对稀疏编码优化自适应变换。

项目成果

期刊论文数量（7）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

A Trajectory Study for Obtaining MPI System Matrices in a Compressed-Sensing Framework

DOI：
10.18416/ijmpi.2017.1706005
发表时间：
2017-06
期刊：
arXiv: Numerical Analysis
影响因子：
0
作者：
M. Maass;M. Ahlborg;A. Bakenecker;Fabrice Katzberg;Huy Phan;T. Buzug;A. Mertins
通讯作者：
M. Maass;M. Ahlborg;A. Bakenecker;Fabrice Katzberg;Huy Phan;T. Buzug;A. Mertins

Optimized Compression of MPI System Matrices Using a Symmetry-Preserving Secondary Orthogonal Transform

使用保对称二次正交变换优化 MPI 系统矩阵压缩